GitHub - nprimavera/Data-Science-for-Mechanical-Systems-ML-: Code created during a Machine Learning class at Columbia University

Name		Name	Last commit message	Last commit date
Latest commit History 21 Commits
Class Notes - Jupyter Notebook.pdf		Class Notes - Jupyter Notebook.pdf
Decision Trees, Gini Index, Entropy, Bootstrapping		Decision Trees, Gini Index, Entropy, Bootstrapping
Decision Trees, Gini Index, Entropy, Bootstrapping.pdf		Decision Trees, Gini Index, Entropy, Bootstrapping.pdf
Filtering Data		Filtering Data
Filtering Data.pdf		Filtering Data.pdf
Linear Regression Models		Linear Regression Models
Linear Regression Models.pdf		Linear Regression Models.pdf
Loss Function, Gradient, and Gradient Descent		Loss Function, Gradient, and Gradient Descent
Loss Function, Gradient, and Gradient Descent.pdf		Loss Function, Gradient, and Gradient Descent.pdf
Neural Network		Neural Network
Neural Network.pdf		Neural Network.pdf
Solenoid - step in applied voltage		Solenoid - step in applied voltage
Solenoid - step in applied voltage - Jupyter Notebook.pdf		Solenoid - step in applied voltage - Jupyter Notebook.pdf
Standardization and PCA		Standardization and PCA
Standardization and PCA.pdf		Standardization and PCA.pdf

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Code created during a Machine Learning class at Columbia University

bootstrap entropy neural-network linear-regression pca gradient standardization gradient-descent decision-trees loss-functions gini-index filtering-data

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